Grammatical profiling of Czech nouns: what do cases tell us about nouns' meanings

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Grammatical profiling of Czech nouns: what do cases tell us about nouns' meanings

Popis výsledku v původním jazyce

By employing the grammatical profile method, we show to what extent patterns of use of grammatical features are interpretable through word meaning and how stable this relationship is across different corpora. we extracted grammatical profiles of all nouns in four different corpora of Czech (modern written Czech, spoken Czech, Czech movie subtitles, Czech translations of the proceedings of the European Parliament). After filtering out low frequency lemmas (ipm &lt; 7), we analyzed a set of 821 noun lemmas that appear in all four corpora. The distributions in each corpus were analyzed using hierarchical clustering to identify lemmas with similar profiles. Obtained clusters were studied with respect to the relative frequency of individual cases and the meanings of cluster members. The results show that there are potentially meaningful groupings in the data. We identified four clusters that are, with one exception, found in all four corpora. The clusters suggest that the analyzed distributional patterns may be interpreted as an interplay between word meaning and more abstract syntactic patterns.

Název v anglickém jazyce

Grammatical profiling of Czech nouns: what do cases tell us about nouns' meanings

Popis výsledku anglicky

By employing the grammatical profile method, we show to what extent patterns of use of grammatical features are interpretable through word meaning and how stable this relationship is across different corpora. we extracted grammatical profiles of all nouns in four different corpora of Czech (modern written Czech, spoken Czech, Czech movie subtitles, Czech translations of the proceedings of the European Parliament). After filtering out low frequency lemmas (ipm &lt; 7), we analyzed a set of 821 noun lemmas that appear in all four corpora. The distributions in each corpus were analyzed using hierarchical clustering to identify lemmas with similar profiles. Obtained clusters were studied with respect to the relative frequency of individual cases and the meanings of cluster members. The results show that there are potentially meaningful groupings in the data. We identified four clusters that are, with one exception, found in all four corpora. The clusters suggest that the analyzed distributional patterns may be interpreted as an interplay between word meaning and more abstract syntactic patterns.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

60203 - Linguistics

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů